Tether Releases VisionPsy-Nano to Bring High-End AI to Smartphones

The QVAC research initiative by Tether Data designed this model to handle complex visual tasks—ranging from OCR and document analysis to spatial reasoning—without needing external servers. By releasing both a standard version and a 'Flash' variant tuned for latency, the company is targeting developers who require real-world responsiveness. The Flash edition reportedly achieves first-token generation up to 36 times faster than previous benchmarks on an iPhone 15, while maintaining 99% of the full model's accuracy.

VisionPsy-Nano outperformed competitors including Liquid AI’s LFM2.5-VL-450M and Hugging Face’s SmolVLM2-500M across 16 of 17 industry benchmarks. Paolo Ardoino, CEO of Tether, stated that the release is intended to counter the trend of data center centralization. By providing open-weight access under an Apache 2.0 license, the project allows for deployment via llama.cpp or vLLM, effectively placing high-performance multimodal capabilities into the hands of local device users.